OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Model-Based Offline Planning with Trajectory Pruning
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 5
Xianyuan Zhan, Xiangyu Zhu, Haoran Xu
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022)
Open Access | Times Cited: 5
Showing 5 citing articles:
Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving
Christopher P. Diehl, Timo Sievernich, Martin Krüger, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 1167-1174
Closed Access | Times Cited: 14
Christopher P. Diehl, Timo Sievernich, Martin Krüger, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 1167-1174
Closed Access | Times Cited: 14
Off-policy evaluation for tabular reinforcement learning with synthetic trajectories
Weiwei Wang, Yuqiang Li, Xianyi Wu
Statistics and Computing (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 3
Weiwei Wang, Yuqiang Li, Xianyi Wu
Statistics and Computing (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 3
Model-based trajectory stitching for improved behavioural cloning and its applications
Charles A. Hepburn, Giovanni Montana
Machine Learning (2023) Vol. 113, Iss. 2, pp. 647-674
Open Access | Times Cited: 2
Charles A. Hepburn, Giovanni Montana
Machine Learning (2023) Vol. 113, Iss. 2, pp. 647-674
Open Access | Times Cited: 2
L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration
Imran Adham, Hang Wang, Sen Lin, et al.
(2024), pp. 178-185
Closed Access
Imran Adham, Hang Wang, Sen Lin, et al.
(2024), pp. 178-185
Closed Access
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning
Qichao Zhang, Xing Fang, Kaixuan Xu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 34, pp. 1-7
Closed Access
Qichao Zhang, Xing Fang, Kaixuan Xu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 34, pp. 1-7
Closed Access
